The Engineer Sr Analyst is an intermediate level position responsible for a variety of engineering activities including the design, acquisition and development of hardware, software and network infrastructure in coordination with the Technology team. The overall objective of this role is to ensure quality standards are being met within existing and planned frameworks.

Responsibilities:

• Contribute to the budgetary requirement definition for assigned product area, develop functional specifications, and create project plans and software release schedules
• Partner with business and development teams to identify engineering requirements and assist in defining application and system requirements and processes and maintain engineering relationships with the end user/client
• Ensure requirements/tasks from technology departments and/or end users are communicated to stakeholders
• Provide solutions and processes in accordance with audit initiatives and requirements and consult with Business Information Security officers (BISOs) and TISOs
• Exhibit in-depth understanding of engineering concepts and principles
• Assist with training activities and mentor junior team members
• Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.

Qualifications:

• 5-8 years of relevant experience in an Engineering role
• Experience working in Financial Services or a large complex and/or global environment
• Project Management experience
• Consistently demonstrates clear and concise written and verbal communication
• Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
• Demonstrated analytic/diagnostic skills
• Ability to work in a matrix environment and partner with virtual teams
• Ability to work independently, prioritize, and take ownership of various parts of a project or initiative
• Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
• Proven track record of operational process change and improvement

Education:

• Bachelor’s degree/University degree or equivalent experience

DATA ANALYST AUTOMATION ENGINEER

About the Role:

We are seeking a proactive and tech-savvy Data Analyst Automation Engineer to join our Global Automation Platform Team. This pivotal role is designed for an analytical professional with a strong foundation in data analytics and AI-powered automation. The ideal candidate will possess a deep understanding of how to leverage data to drive innovation, enhance decision-making, and achieve operational excellence within Citi's critical Compute domain, which encompasses our enterprise-wide infrastructure and cloud platforms.

You will be instrumental in analyzing, visualizing, and delivering actionable insights from complex datasets, utilizing both traditional data analysis tools such as MSSQL, Elastic Search, and Splunk, and cutting-edge AI technologies. This includes collecting data from various platform sources including Ansible, Chef, SCCM, ServiceNow (SNOW) etc. The position demands adherence to ITIL standards and fostering cross-functional collaboration within a dynamic, transnational environment, utilizing agile methodologies and engaging multidisciplinary teams. A key aspect of this role involves pioneering the migration to modern AI tools (e.g., Gemini, OpenAI) to automate, optimize, and revolutionize existing processes across our global infrastructure.

Key Responsibilities:

Data Analytics & Visualization:

• Collect, transform, and analyze massive volumes of structured and unstructured data from platforms such as MSSQL, Elastic Search, and Splunk, identifying key trends and anomalies.
• Build and maintain sophisticated dashboards and visual reports using systems like Splunk, Qlik Sense, Grafana, Snow, Jira, and Excel to support real-time monitoring and strategic business decision-making.
• Automate reporting processes and generate critical insights into system performance, resource capacity, and process efficiency at an enterprise level.

AI-Driven Automation Solutions:

• Design and implement intelligent automation solutions using AI technologies (e.g., Gemini, OpenAI) to profoundly enhance IT operations, incident management, and data interpretation across diverse environments.
• Research and prototype Large Language Models (LLMs) for innovative applications such as anomaly detection, chatbot automation, ticket classification, and predictive analytics.
• Integrate generative AI models into analytics workflows to significantly improve decision support, user interaction, and response recommendations.

Tool and Platform Integration:

• Collaborate with engineering and infrastructure teams to automate data flows and integrate outputs with tools like Ansible, SCCM, and SNOW.
• Monitor and analyze automation pipelines to identify inefficiencies, propose improvements, and ensure data-driven operations.
• Maintain data quality and synchronization across systems through ETL automation and scripting (e.g., SQL, Python, or PowerShell).

Cross-Team Collaboration & Governance:

• Work within multinational and multidisciplinary teams, collaborating across time zones to support global automation initiatives.
• Follow ITIL best practices for incident, change, and problem management.
• Manage tasks and reporting within Jira and ensure transparency and traceability of data-driven initiatives.

Technical Skills:

Required

• Advanced experience with systems like SQL (MSSQL), Splunk, Elastic Search, Grafana, Excel, or Qlik Sense.
• Understanding of AI/ML concepts and integration experience with LLMs or APIs (Gemini, OpenAI, etc.).

Desired

• Familiarity with the main Compute domain like ServiceNow and Jira.
• Knowledge of DevOps processes and technologies is highly valuable, particularly with prior experience in platforms like Ansible and SCCM.

Business and Operational Skills:

• Strong analytical, self-management, and problem-solving skills with a keen attention to detail.
• Ability to translate complex data into simple, actionable insights for technical and non-technical stakeholders.
• Capabilities to work on cross-functional teams to identify business requirements.
• Experience working within ITIL-aligned environments.
• Familiarity with Agile methodologies and collaborative tools such as Jira and Confluence.

Preferred Qualifications:

• Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, or a related field.
• Certifications in Elastic Search, Grafana, Splunk, ITIL, ServiceNow, or data visualization platforms.
• Experience with AI model implementation is a plus.

Career Growth & Development:

At Citi, you will have the opportunity to continuously learn and grow. We offer access to cutting-edge tools and technologies, mentorship from industry experts, and a clear path for professional advancement within our dynamic Global Automation Platform Team. Engage in challenging projects that push the boundaries of data analytics and AI automation, contributing directly to Citi's technological future.

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Job Family Group:

Technology

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Job Family:

Systems & Engineering

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Time Type:

Full time

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Most Relevant Skills

Please see the requirements listed above.

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Other Relevant Skills

For complementary skills, please see above and/or contact the recruiter.

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Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.

 

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